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Decision Policies for Production Networks / edited by Dieter Armbruster, Karl G. Kempf

Von: Mitwirkende(r): Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: SpringerLink BücherVerlag: London : Springer London, 2012Beschreibung: Online-Ressource (XIV, 302p. 107 illus, digital)ISBN:
  • 9780857296443
Schlagwörter: Andere physische Formen: 9780857296436 | Buchausg. u.d.T.: 9780857296436 | Erscheint auch als: Decision policies for production networks. Druck-Ausgabe. London [u.a.] : Springer Verlag, 2012. XIV, 302 S.DDC-Klassifikation:
  • 658.40301
  • 658.5
LOC-Klassifikation:
  • HD30.23
DOI: DOI: 10.1007/978-0-85729-644-3Online-Ressourcen:
Inhalte:
Decision Policies forProduction Networks; Acknowledgments; Contents; Contributors; An Overview of Decision Policiesfor Production Networks; 1 Introduction; 2 Advice to the Reader; 3 An Overview of the Chapters; 4 An Overview of the Authors; Modeling and Control of Manufacturing Systems; 1 Preliminaries; 1.1 Basic Notions from Manufacturing Analysis; 1.2 Analytical Models for Steady-State Analysis; 1.3 Discrete Event Models; 2 Effective Process Times (EPTs); 2.1 Single Machine, One Lot Type, FIFO Policy; 2.2 Integrated Processing Workstations; 3 Control Framework; 4 An Approximation Model
4.1 Clearing Functions5 Controller Design; 5.1 Trajectory Generation Problem; 5.2 Reference Tracking: Model-Based Predictive Control (MPC); 6 Concluding Remarks; References; The Ongoing Challenge for a Responsive Demand Supply Network: The Final Frontier---Controlling the Factory; 1 Positioning the Factory Within an Enterprise Wide Demand-Supply Network; 2 Challenges and Opportunities; 3 Basics of Enterprise-Wide End-to-End Central Planning; 4 Basics of Factory Planning and Dispatch; 5 Current Interaction Between Factory and Enterprise: Factory Limits Responsiveness---Opportunities Abound
6 Dynamic Interaction Between Central Planning and Factory Planning6.1 Smarter WIP Projections by Considering Capacity; 6.2 Dynamically Resetting Due Dates; 6.3 Committing Some Lots to Run a little Faster: Collateral Impact; 6.4 Smarter Central Planning Through Better Modeling of Factory Capacity; 7 Tactical Decisions in the Factory: Only the Shadow Knows; 8 Fundamentals of Dispatch Scheduling for Better Factory Performance; 8.1 Basics of Dispatch Scheduling; 9 Conclusion: Slow Steady Progress in Extending the Borders of Bounded Rationality
Appendix 1: Committing Some Lots to Run Faster---Collateral ImpactDeciding Which Lot are Candidates to Speed Up; Model 1: Expediting a Set of Lots from Release into the Line; Model 2: Expediting Lots Close to the End of the Manufacturing Line; The Planned Speedup is Worthless Without Execution; Appendix 2: Revisiting Capacity Allocation: a Rabbit Out of the Hat; Appendix 3: Recognizing the Trade-Off Between Capacity and Cycle Time; Review of the Operating Curve; Linking Capacity and Cycle Time; Appendix 4: How Well Does the WIP Match the Tool Deployment?
The Planned Deployment Decision is Worthless Without ExecutionAppendix 5: Dispatch Scheduling Details on Guidance and Judgment; References; WIP-Oriented Dispatching in Complex Manufacturing Facilities; 1 Introduction; 1.1 Single Due Date-Oriented Rules; 1.2 Composite Due Date-Oriented Rules; 1.3 WIP-Oriented Release Rules; 1.4 WIP-Oriented Dispatching Rules; 2 Proposed Workload Balance and Due Date Control Approach; 3 Simulation Model; 4 Performance Analysis; 5 Summary; Appendix; References; Controlling a Re-entrant Manufacturing Line via the Push--Pull Point; 1 Introduction
2 The Factory Model
Zusammenfassung: 1.An Overview of Decision Policies for Production Networks -- 2.Modeling and Control of Manufacturing Systems -- 3.The Ongoing Challenge for a Responsive Demand Supply Network: The Final Frontier-Controlling the Factory -- 4.WIP-Oriented Dispatching in Complex Manufacturing Facilities -- 5.Controlling a Re-entrant Manufacturing Line via the Push-Pull Point -- 6.JEDI: Just-in-Time Execution and Distribution Information Support System for Automotive Stamping Operations.-7. A Control Theoretic Evaluation of Schedule Nervousness Suppression Techniques for Master Production Scheduling -- 8.Chance-Constraint-Based Heuristics for Production Planning in the Face of Stochastic Demand and Workload-Dependent Lead Times -- 9.Traffic Flow Models and Service Rules for Complex Production System -- 10.Autonomous Decision Policies for Networks of Production Systems -- 11.Optimal Order and Distribution Strategies in Production Networks -- 12.The Production Planning Problem: Clearing Functions, Variable Lead Times, Delay Equations and Partial Differential EquationsZusammenfassung: The financial results of any manufacturing company can be dramatically impacted by the repetitive decisions required to control a complex production network be it a network of machines in a factory; a network of factories in a company; or a network of companies in a supply chain. Decision Policies for Production Networks presents recent convergent research on developing policies for operating production networks including details of practical control and decision techniques which can be applied to improve the effectiveness and economic efficiency of production networks worldwide. Researchers and practitioners come together to explore a wide variety of approaches to a range of topics including: •WIP and equipment management policies, •Material release policies, •Machine, factory, and supply chain network policies for delivery in the face of supply and demand variability, and •Conflicts between complex production network models and their controlling policies. Case studies and relevant mathematical techniques are included to support and explain techniques such as heuristics, global and hierarchical optimization, control theory and filtering approaches related to complex systems or traffic flows. Decision Policies for Production Networks acts as handbook for researchers and practitioners alike, providing findings and information which can be applied to develop methods and advance further research across production networksPPN: PPN: 1651391084Package identifier: Produktsigel: ZDB-2-SBE
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